The Center for Neural and Emergent Systems (CNES), part of ISSL, is dedicated to exploring and developing an innovative neural & emergent computing paradigm for creating intelligent, efficient machines that can interact with, react and adapt to, evolve, and learn from their environments.

Mitre Corporation role in IARPA'S ICArUs program was the Test and Evaluation (T&E) of the neural-computational models developed by several teams of performers. Mitre performed these tasks through its National Security Engineering Center (NSEC).

Mitre also explored the potential for transition of T&E products beyond ICArUS to practical applications and future research in the Intelligence Community.

Neuroscience Program (NSP) at the University of Illinois at Urbana-Champaign is an interdisciplinary program of study and research leading to the doctoral degree. Other neuroscience related programs include the Beckman Institute and numerous research centers.

A major facet of this initiative is increasing collaboration among faculty from disciplines such as computer science and engineering with those taking biological and behavioral approaches to neuroscience. Linking brain science to behavior via the application of machine learning, statistics, and computational modeling will be a hallmark of CMU’s efforts, along with commercialization of the new technologies and applications.

As part of the IARPA SHARP program,Honeywellis leading a team of top researchers from Northeastern University, Oxford University, and Beth Israel Dea­coness Med­ical Center.

The goal of the SHARP program is to develop, demonstrate, and validate methods to augment intelligence analysts’ adaptive reasoning and problem-solving capabilities (ARP) and to enhance their ability to reason through complex problems common to the intelligence community.

As part of the IARPA SHARP program, Charles River is leading a team of top researchers from the Georgia Institute of Technology, the University of New Mexico, and Harvard University to test the effectiveness of a Multifaceted Intervention for Robust, ARP-Focused Customized Learning and Enhancement, or MIRACLE.

The goal of the SHARP program is to develop, demonstrate, and validate methods to augment intelligence analysts’ adaptive reasoning and problem-solving capabilities (ARP) and to enhance their ability to reason through complex problems common to the intelligence community.

Their models are based on learning distributed representations of individual words from text corpora, as well as resources such as FrameNet and WordNet, and using recursive neural network approaches and other techniques to assemble them into the representation of a sentence. The models are validated by decoding mental content from brain imaging data acquired with our own experiments.

eCortex is a research and development company dedicated to the idea that the most important advances in artificial intelligence will come from a deep understanding of the mechanisms in the human brain.

eCortex performs basic and applied research for defense and intelligence agencies in programs where the challenges are broad enough to defy narrow algorithmic solutions. Ultimately, we aim to develop commercial products for robotics and analysis of image, video, and other data.